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README.md

NLP Services - Sentiment Analysis

This project performs sentiment analysis on a dataset of reader feedback. The dataset includes customer feedback from various sources and is used to classify the sentiment into categories (e.g., positive, negative, neutral).

Project Structure

  • data/: Contains the dataset for the sentiment analysis (reader_feedback.csv).
  • code/: Python code for performing sentiment analysis using NLP libraries.
  • notebooks/: Jupyter notebook demonstrating the NLP workflow and results.
  • README.md: Overview of the project, structure, and dependencies.

Dataset

The dataset is located in data/reader_feedback.csv. It contains the following columns:

  • feedback_id: Unique ID for the feedback.
  • customer_id: Unique ID for the customer.
  • feedback_text: The textual feedback provided by the customer.
  • timestamp: When the feedback was submitted.
  • source: Source of the feedback (e.g., web, mobile).
  • sentiment_label: The actual sentiment (positive, negative, neutral) for supervised learning.

Requirements

  • Python 3.x
  • Pandas
  • Scikit-learn
  • NLTK (Natural Language Toolkit)
  • Jupyter Notebook (for running the notebook)